Scheidegger Wandercleyson M, de Mello Ricardo C, Sierra M Sergio D, Jimenez Mario F, Munera Marcela C, Cifuentes Carlos A, Frizera-Neto Anselmo
IEEE Int Conf Rehabil Robot. 2019 Jun;2019:905-910. doi: 10.1109/ICORR.2019.8779469.
This work presents a multimodal cognitive interaction strategy aiming at walker-assisted rehabilitation therapies, with special focus on post-stroke patients. Such interaction strategy is based on monitoring user's gait and face orientation to command the displacement of the smart walker. Users are able to actively command the steering of the walker by changing their face orientation, while their lower limbs movement affect the walker's linear velocity. The proposed system is validated using a smart walker and the results obtained point to the feasibility of employing such cognitive interaction in rehabilitation therapies.
这项工作提出了一种针对步行辅助康复治疗的多模态认知交互策略,特别关注中风后患者。这种交互策略基于监测用户的步态和面部朝向来控制智能步行器的位移。用户能够通过改变面部朝向主动控制步行器的转向,而他们下肢的运动则影响步行器的线速度。所提出的系统通过一个智能步行器进行了验证,所获得的结果表明在康复治疗中采用这种认知交互的可行性。